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Artificial Beings: The Conscience of a Conscious Machine
by Jacques PitratThis book demonstrates that not only is it possible to create entities with both consciousness and conscience, but that those entities demonstrate them in ways different from our own, thereby showing a new kind of consciousness.
Artificial Boundary Method
by Houde Han Xiaonan Wu"Artificial Boundary Method" systematically introduces the artificial boundary method for the numerical solutions of partial differential equations in unbounded domains. Detailed discussions treat different types of problems, including Laplace, Helmholtz, heat, Schrödinger, and Navier and Stokes equations. Both numerical methods and error analysis are discussed. The book is intended for researchers working in the fields of computational mathematics and mechanical engineering.Prof. Houde Han works at Tsinghua University, China; Prof. Xiaonan Wu works at Hong Kong Baptist University, China.
Artificial Cognition Architectures
by James Crowder John N. Carbone Shelli FriessThe goal of this book is to establish the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented here are some basic human intelligence concepts framed for Artificial Intelligence systems. These include concepts like Metacognition and Metamemory, along with architectural constructs for Artificial Intelligence versions of human brain functions like the prefrontal cortex. Also presented are possible hardware and software architectures that lend themselves to learning, reasoning, and self-evolution
Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities: Case Studies In Micromachining Processes (Springer Theses)
by Gerardo BeruvidesThis book introduces three key issues: (i) development of a gradient-free method to enable multi-objective self-optimization; (ii) development of a reinforcement learning strategy to carry out self-learning and finally, (iii) experimental evaluation and validation in two micromachining processes (i.e., micro-milling and micro-drilling). The computational architecture (modular, network and reconfigurable for real-time monitoring and control) takes into account the analysis of different types of sensors, processing strategies and methodologies for extracting behavior patterns from representative process’ signals. The reconfiguration capability and portability of this architecture are supported by two major levels: the cognitive level (core) and the executive level (direct data exchange with the process). At the same time, the architecture includes different operating modes that interact with the process to be monitored and/or controlled. The cognitive level includes three fundamental modes such as modeling, optimization and learning, which are necessary for decision-making (in the form of control signals) and for the real-time experimental characterization of complex processes. In the specific case of the micromachining processes, a series of models based on linear regression, nonlinear regression and artificial intelligence techniques were obtained. On the other hand, the executive level has a constant interaction with the process to be monitored and/or controlled. This level receives the configuration and parameterization from the cognitive level to perform the desired monitoring and control tasks.
Artificial Darkness: An Obscure History of Modern Art and Media
by Noam M. ElcottDarkness has a history and a uniquely modern form. Distinct from night, shadows, and artificial light, “artificial darkness” has been overlooked—until now. In fact, controlled darkness was essential to the rise of photography and cinema, science and spectacle, and a century of advanced art and film. Artificial Darkness is the first book to historicize and theorize this phenomenon and map its applications across a range of media and art forms. In exploring how artificial darkness shaped modern art, film, and media, Noam M. Elcott addresses seminal and obscure works alongside their sites of production—such as photography darkrooms, film studios, and laboratories—and their sites of reception, including theaters, cinemas, and exhibitions. He argues that artists, scientists, and entertainers like Étienne-Jules Marey, Richard Wagner, Georges Méliès, and Oskar Schlemmer revolutionized not only images but also everything surrounding them: the screen, the darkness, and the experience of bodies and space. At the heart of the book is “the black screen,” a technology of darkness that spawned today’s blue and green screens and has undergirded numerous advanced art and film practices to this day. Turning familiar art and film narratives on their heads, Artificial Darkness is a revolutionary treatment of an elusive, yet fundamental, aspect of art and media history.
Artificial Darkness: An Obscure History of Modern Art and Media
by Noam M. ElcottDarkness has a history and a uniquely modern form. Distinct from night, shadows, and artificial light, “artificial darkness” has been overlooked—until now. In fact, controlled darkness was essential to the rise of photography and cinema, science and spectacle, and a century of advanced art and film. Artificial Darkness is the first book to historicize and theorize this phenomenon and map its applications across a range of media and art forms. In exploring how artificial darkness shaped modern art, film, and media, Noam M. Elcott addresses seminal and obscure works alongside their sites of production—such as photography darkrooms, film studios, and laboratories—and their sites of reception, including theaters, cinemas, and exhibitions. He argues that artists, scientists, and entertainers like Étienne-Jules Marey, Richard Wagner, Georges Méliès, and Oskar Schlemmer revolutionized not only images but also everything surrounding them: the screen, the darkness, and the experience of bodies and space. At the heart of the book is “the black screen,” a technology of darkness that spawned today’s blue and green screens and has undergirded numerous advanced art and film practices to this day. Turning familiar art and film narratives on their heads, Artificial Darkness is a revolutionary treatment of an elusive, yet fundamental, aspect of art and media history.
Artificial Darkness: An Obscure History of Modern Art and Media
by Noam M. ElcottDarkness has a history and a uniquely modern form. Distinct from night, shadows, and artificial light, “artificial darkness” has been overlooked—until now. In fact, controlled darkness was essential to the rise of photography and cinema, science and spectacle, and a century of advanced art and film. Artificial Darkness is the first book to historicize and theorize this phenomenon and map its applications across a range of media and art forms. In exploring how artificial darkness shaped modern art, film, and media, Noam M. Elcott addresses seminal and obscure works alongside their sites of production—such as photography darkrooms, film studios, and laboratories—and their sites of reception, including theaters, cinemas, and exhibitions. He argues that artists, scientists, and entertainers like Étienne-Jules Marey, Richard Wagner, Georges Méliès, and Oskar Schlemmer revolutionized not only images but also everything surrounding them: the screen, the darkness, and the experience of bodies and space. At the heart of the book is “the black screen,” a technology of darkness that spawned today’s blue and green screens and has undergirded numerous advanced art and film practices to this day. Turning familiar art and film narratives on their heads, Artificial Darkness is a revolutionary treatment of an elusive, yet fundamental, aspect of art and media history.
Artificial General Intelligence (Cognitive Technologies)
by Ben Goertzel Cassio Pennachin“Only a small community has concentratedon general intelligence. No one has tried to make a thinking machine . . . The bottom line is that we really haven’t progressed too far toward a truly intelligent machine. We have collections of dumb specialists in small domains; the true majesty of general intelligence still awaits our attack. . . . We have got to get back to the deepest questions of AI and general intelligence. . . ” –MarvinMinsky as interviewed in Hal’s Legacy, edited by David Stork, 2000. Our goal in creating this edited volume has been to ?ll an apparent gap in the scienti?c literature, by providing a coherent presentation of a body of contemporary research that, in spite of its integral importance, has hitherto kept a very low pro?le within the scienti?c and intellectual community. This body of work has not been given a name before; in this book we christen it “Arti?cial General Intelligence” (AGI). What distinguishes AGI work from run-of-the-mill “arti?cial intelligence” research is that it is explicitly focused on engineering general intelligence in the short term. We have been active researchers in the AGI ?eld for many years, and it has been a pleasure to gather together papers from our colleagues working on related ideas from their own perspectives. In the Introduction we give a conceptual overview of the AGI ?eld, and also summarize and interrelate the key ideas of the papers in the subsequent chapters.
Artificial General Intelligence: Smart Applications and Sustainable Technologies (Advanced Technologies and Societal Change)
by Keshav Kaushik Inam Ullah Khan Salma El HajjamiThis book highlights a collection of state-of-the-art research on Safe Artificial General Intelligence (AGI), highlighting the crucial role of cybersecurity, smart applications, and sustainable technologies in ensuring a secure AI future. It illustrates the latest trends in AI safety, exploring the potential risks and dangers associated with AGI development and ways to prevent unintended consequences. The book discusses the convergence of various fields, such as AI, cybersecurity, smart applications, and sustainable technologies, by providing an overview of theoretical, practical, and simulation concepts of AGI. It also displays solutions that will help mitigate the risks and ensure the responsible and ethical development of AGI. It provides insights and perspectives from experts in these fields and offers a comprehensive guide to understanding the challenges and opportunities associated with the development of safe and secure AGI. The book includes chapters on various topics related to AGI security, including the ethical and legal aspects of AGI development, the role of explainability in ensuring transparency and accountability, the use of machine learning for intrusion detection and prevention, and the application of smart technologies for securing AGI systems. Additionally, it explores the impact of sustainable technologies on AGI security, such as the use of renewable energy sources to power AGI systems and the development of eco-friendly hardware. This book is a valuable source for researchers, students, and practitioners interested in the fields of artificial general intelligence, cybersecurity, smart applications, and sustainable technologies.
Artificial Gravity (Space Technology Library #20)
by Gilles Clément Angeli BukleyThis book reviews the principle and rationale for using artificial gravity during space missions, and describes the current options proposed, including a short-radius centrifuge contained within a spacecraft. Experts provide recommendations on the research needed to assess whether or not short-radius centrifuge workouts can help limit deconditioning of physiological systems. Many detailed illustrations are included.
Artificial Heart 3: Proceedings of the 3rd International Symposium on Artificial Heart and Assist Devices, February 16–17, 1990, Tokyo, Japan
by J. M. Anderson L. H. Cohn P. L. Frommer M. Hachida K. Kataoka S. Nitta C. Nojiri D. B. Olsen D. G. Pennington S. Takatani R. YozuThe International Symposium on Artificial Heart and Assist Devices has been held three times, first in 1985, then in 1987 and 1990. It is my great pleasure to present Artificial Heart 3 (Proceedings of the 3rd International Symposium on Artificial Heart and Assist Devices). The third symposium was held in Tokyo on February 16 and 17, 1990. Our original intention was to invite all the principal investigators from the major artificial heart research laboratories in the world, in the first three symposia. The numbers of investigators in the fields of the artificial heart, ventricular assist systems, and biomaterials, invited for the symposia, totalled 7 in 1985, 8 in 1987, and 13 in 1990. The program of the third symposium consisted of 41 papers; 13 invited lectures, 8 papers contributed upon request, with 2 from the United States, and 20 regular selected papers including 2 from the United States, ana 1 each from Australia, Germany, and South Korea. During the last three years, the state of clinical application of artificial hearts and assist devices has changed. In the case of pneumatically driven blood pumps, we have now stepped into the age of practical use in patients. Accordingly, in this symposium we gave a special emphasis to topics of clinical application, particularly the use of an artificial heart as a bridge to heart transplantation. Sessions on implantable artificial hearts, biomaterials for the artificial heart, and heart transplantation were also included.
Artificial Hearts: The Allure and Ambivalence of a Controversial Medical Technology
by Shelley McKellarArtificial hearts are seductive devices. Their promissory nature as a cure for heart failure aligned neatly with the twentieth-century American medical community;€™s view of the body as an entity of replacement parts. In Artificial Hearts, Shelley McKellar traces the controversial history of this imperfect technology beginning in the 1950s and leading up to the present day. McKellar profiles generations of researchers and devices as she traces the heart;€™s development and clinical use. She situates the events of Dr. Michael DeBakey and Dr. Denton Cooley;€™s professional fall-out after the first artificial heart implant case in 1969, as well as the 1982;€“83 Jarvik-7 heart implant case of Barney Clark, within a larger historical trajectory. She explores how some individuals;¢;‚¬;€?like former US Vice President Dick Cheney;¢;‚¬;€?affected the public profile of this technology by choosing to be implanted with artificial hearts. Finally, she explains the varied physical experiences, both negative and positive, of numerous artificial heart recipients. McKellar argues that desirability;¢;‚¬;€?rather than the feasibility or practicality of artificial hearts;¢;‚¬;€?drove the invention of the device. Technical challenges and unsettling clinical experiences produced an ambivalence toward its continued development by many researchers, clinicians, politicians, bioethicists, and the public. But the potential and promise of the artificial heart offset this ambivalence, influencing how success was characterized and by whom. Packed with larger-than-life characters;¢;‚¬;€?from dedicated and ardent scientists to feuding Texas surgeons and brave patients;¢;‚¬;€?this book is a fascinating case study that speaks to questions of expectations, limitations, and uncertainty in a high-technology medical world.
Artificial Hearts: The Allure and Ambivalence of a Controversial Medical Technology
by Shelley McKellarArtificial hearts are seductive devices. Their promissory nature as a cure for heart failure aligned neatly with the twentieth-century American medical community;€™s view of the body as an entity of replacement parts. In Artificial Hearts, Shelley McKellar traces the controversial history of this imperfect technology beginning in the 1950s and leading up to the present day. McKellar profiles generations of researchers and devices as she traces the heart;€™s development and clinical use. She situates the events of Dr. Michael DeBakey and Dr. Denton Cooley;€™s professional fall-out after the first artificial heart implant case in 1969, as well as the 1982;€“83 Jarvik-7 heart implant case of Barney Clark, within a larger historical trajectory. She explores how some individuals;¢;‚¬;€?like former US Vice President Dick Cheney;¢;‚¬;€?affected the public profile of this technology by choosing to be implanted with artificial hearts. Finally, she explains the varied physical experiences, both negative and positive, of numerous artificial heart recipients. McKellar argues that desirability;¢;‚¬;€?rather than the feasibility or practicality of artificial hearts;¢;‚¬;€?drove the invention of the device. Technical challenges and unsettling clinical experiences produced an ambivalence toward its continued development by many researchers, clinicians, politicians, bioethicists, and the public. But the potential and promise of the artificial heart offset this ambivalence, influencing how success was characterized and by whom. Packed with larger-than-life characters;¢;‚¬;€?from dedicated and ardent scientists to feuding Texas surgeons and brave patients;¢;‚¬;€?this book is a fascinating case study that speaks to questions of expectations, limitations, and uncertainty in a high-technology medical world.
Artificial Hearts: Technology and Therapy Management
by Ming YangThis book provides a comprehensive introduction to artificial hearts, summarizing the latest advances in basic technologies, design, evaluation, and management. Featuring 11 chapters, it discusses the origins of the artificial heart, the mechanisms of heart failure, and the principles of artificial heart technologies. Further, it offers an overview of rotary pumps and volume-displacement pumps, and addresses total artificial hearts. Lastly, the book covers evaluation, selection, therapy management, challenges, and the latest innovations. Given its scope, it is a valuable resource for researchers and technicians in the area of biomedical engineering, as well as surgeons.
Artificial Immune Systems and Their Applications
by Dipankar DasguptaThis is a pioneering work on the emerging field of artificial immune systems-highly distributed systems based on the principles of the natural system. Like artificial neural networks, artificial immune systems can learn new information and recall previously learned information. This book provides an overview of artificial immune systems, explaining its applications in areas such as immunological memory, anomaly detection algorithms, and modeling the effects of prior infection on vaccine efficacy.
Artificial Intelligence (Studies in Systems, Decision and Control #488)
by Bahaaeddin A. M. Alareeni Islam ElgedawyArtificial intelligence (AI) has the potential to significantly improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making, making it an increasingly important tool for financial professionals. One way that AI can improve efficiency in finance is by automating tasks and processes that are time-consuming and repetitive for humans. For example, AI algorithms can be used to analyze and process large amounts of data, such as financial statements and market data, in a fraction of the time that it would take a human to do so. This can allow financial professionals to focus on higher-value tasks, such as interpreting data and making strategic decisions, rather than being bogged down by mundane tasks. AI can also reduce costs in finance by increasing automation and eliminating the need for certain tasks to be performed manually. This can result in cost savings for financial institutions, which can then be passed on to customers in the form of lower fees or better services. AI can be used to identify unusual patterns of activity that may indicate fraudulent behavior. This can help financial institutions reduce losses from fraud and improve customer security. AI-powered chatbots and virtual assistants can help financial institutions provide faster, more efficient customer service, particularly when it comes to answering common questions and handling routine tasks. Some financial institutions are using AI to analyze market data and make trades in real-time. AI-powered trading algorithms can potentially make faster and more accurate trading decisions than humans. In terms of speed and accuracy, AI algorithms can analyze data and make decisions much faster than humans, and can do so with a high degree of accuracy. This can be particularly useful in fast-moving financial markets, where quick and accurate decision-making can be the difference between success and failure.This book highlights how AI in finance can improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making. Moreover, the book also focuses on how to ensure the responsible and ethical use of AI in finance.This book is a valuable resource for students, scholars, academicians, researchers, professionals, executives, government agencies, and policymakers interested in exploring the role of artificial intelligence (AI) in finance. Its goal is to provide a comprehensive overview of the latest research and knowledge in this area, and to stimulate further inquiry and exploration.
Artificial Intelligence: Fundamentals and Applications
by Cherry Bhargava Pradeep Kumar SharmaThis comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume. Artificial Intelligence: Fundamentals and Applications presents a detailed discussion of basic aspects and ethics in the field of artificial intelligence and its applications in areas, including electronic devices and systems, consumer electronics, automobile engineering, manufacturing, robotics and automation, agriculture, banking, and predictive analysis. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, manufacturing engineering, pharmacy, and healthcare, this text: Discusses advances in artificial intelligence and its applications. Presents the predictive analysis and data analysis using artificial intelligence. Covers the algorithms and pseudo-codes for different domains. Discusses the latest development of artificial intelligence in the field of practical speech recognition, machine translation, autonomous vehicles, and household robotics. Covers the applications of artificial intelligence in fields, including pharmacy and healthcare, electronic devices and systems, manufacturing, consumer electronics, and robotics.
Artificial Intelligence: Fundamentals and Applications
by Cherry Bhargava Pradeep Kumar SharmaThis comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume. Artificial Intelligence: Fundamentals and Applications presents a detailed discussion of basic aspects and ethics in the field of artificial intelligence and its applications in areas, including electronic devices and systems, consumer electronics, automobile engineering, manufacturing, robotics and automation, agriculture, banking, and predictive analysis. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, manufacturing engineering, pharmacy, and healthcare, this text: Discusses advances in artificial intelligence and its applications. Presents the predictive analysis and data analysis using artificial intelligence. Covers the algorithms and pseudo-codes for different domains. Discusses the latest development of artificial intelligence in the field of practical speech recognition, machine translation, autonomous vehicles, and household robotics. Covers the applications of artificial intelligence in fields, including pharmacy and healthcare, electronic devices and systems, manufacturing, consumer electronics, and robotics.
Artificial Intelligence: An Introduction to the Big Ideas and their Development (Chapman & Hall/CRC Mathematics and Artificial Intelligence Series)
by Robert H. Chen Chelsea ChenArtificial Intelligence: An Introduction to Big Ideas and their Development, Second Edition guides readers through the history and development of artificial intelligence (AI), from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this journey as accessible as possible, the authors build their narrative around accounts of some of the more popular and well-known demonstrations of artificial intelligence, including Deep Blue, AlphaGo and even Texas Hold’em, followed by their historical background, so that AI can be seen as a natural development of the mathematics and computer science of AI. As the book proceeds, more technical descriptions are presented at a pace that should be suitable for all levels of readers, gradually building a broad and reasonably deep understanding and appreciation for the basic mathematics, physics, and computer science that is rapidly developing artificial intelligence as it is today. Features Only mathematical prerequisite is an elementary knowledge of calculus. Accessible to anyone with an interest in AI and its mathematics and computer science. Suitable as a supplementary reading for a course in AI or the History of Mathematics and Computer Science in regard to artificial intelligence. New to the Second Edition Fully revised and corrected throughout to bring the material up-to-date. Greater technical detail and exploration of basic mathematical concepts, while retaining the simplicity of explanation of the first edition. Entirely new chapters on large language models (LLMs), ChatGPT, and quantum computing.
Artificial Intelligence: An Introduction to the Big Ideas and their Development (Chapman & Hall/CRC Mathematics and Artificial Intelligence Series)
by Robert H. Chen Chelsea ChenArtificial Intelligence: An Introduction to Big Ideas and their Development, Second Edition guides readers through the history and development of artificial intelligence (AI), from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this journey as accessible as possible, the authors build their narrative around accounts of some of the more popular and well-known demonstrations of artificial intelligence, including Deep Blue, AlphaGo and even Texas Hold’em, followed by their historical background, so that AI can be seen as a natural development of the mathematics and computer science of AI. As the book proceeds, more technical descriptions are presented at a pace that should be suitable for all levels of readers, gradually building a broad and reasonably deep understanding and appreciation for the basic mathematics, physics, and computer science that is rapidly developing artificial intelligence as it is today. Features Only mathematical prerequisite is an elementary knowledge of calculus. Accessible to anyone with an interest in AI and its mathematics and computer science. Suitable as a supplementary reading for a course in AI or the History of Mathematics and Computer Science in regard to artificial intelligence. New to the Second Edition Fully revised and corrected throughout to bring the material up-to-date. Greater technical detail and exploration of basic mathematical concepts, while retaining the simplicity of explanation of the first edition. Entirely new chapters on large language models (LLMs), ChatGPT, and quantum computing.
Artificial Intelligence: First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5–6, 2021, Proceedings, Part II (Lecture Notes in Computer Science #13070)
by Lu Fang Yiran Chen Guangtao Zhai Jane Wang Ruiping Wang Weisheng DongThis two-volume set LNCS 13069-13070 constitutes selected papers presented at the First CAAI International Conference on Artificial Intelligence, held in Hangzhou, China, in June 2021. Due to the COVID-19 pandemic the conference was partially held online. The 105 papers were thoroughly reviewed and selected from 307 qualified submissions. The papers are organized in topical sections on applications of AI; computer vision; data mining; explainability, understandability, and verifiability of AI; machine learning; natural language processing; robotics; and other AI related topics.
Artificial Intelligence: First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5–6, 2021, Proceedings, Part I (Lecture Notes in Computer Science #13069)
by Lu Fang Yiran Chen Guangtao Zhai Jane Wang Ruiping Wang Weisheng DongThis two-volume set LNCS 13069-13070 constitutes selected papers presented at the First CAAI International Conference on Artificial Intelligence, held in Hangzhou, China, in June 2021. Due to the COVID-19 pandemic the conference was partially held online. The 105 papers were thoroughly reviewed and selected from 307 qualified submissions. The papers are organized in topical sections on applications of AI; computer vision; data mining; explainability, understandability, and verifiability of AI; machine learning; natural language processing; robotics; and other AI related topics.
Artificial Intelligence: Second CAAI International Conference, CICAI 2022, Beijing, China, August 27–28, 2022, Revised Selected Papers, Part III (Lecture Notes in Computer Science #13606)
by Lu Fang Daniel Povey Guangtao Zhai Tao Mei Ruiping WangThis three-volume set LNCS 13604-13606 constitutes revised selected papers presented at the Second CAAI International Conference on Artificial Intelligence, held in Beijing, China, in August 2022. CICAI is a summit forum in the field of artificial intelligence and the 2022 forum was hosted by Chinese Association for Artificial Intelligence (CAAI). The 164 papers were thoroughly reviewed and selected from 521 submissions. CICAI aims to establish a global platform for international academic exchange, promote advanced research in AI and its affiliated disciplines such as machine learning, computer vision, natural language, processing, and data mining, amongst others.
Artificial Intelligence (Studies in Systems, Decision and Control #517)
by Reem Khamis Hamdan Amina BuallayThe impact of artificial intelligence (AI) on business and society has been significant, with the incorporation of AI technologies such as robots, facial recognition, algorithms, and natural language processing into business leading to both corporate benefits and potential challenges for stakeholders. The question of how to engage in responsible business practices in the era of AI is an important one, and there is a need for more research on the relationship between AI and corporate social responsibility (CSR). As AI becomes more prevalent, there is a growing focus on the ethical implications of AI and the potential for AI to perpetuate biases or to displace human workers. CSR initiatives can include considerations of ethical AI in the development and use of AI systems. AI has the potential to solve many global challenges and improve people's lives, but it can also have negative consequences if not developed and used responsibly. CSR initiatives can focus on the social impact of AI,including efforts to ensure that the benefits of AI are distributed fairly and that AI is used for the common good. CSR initiatives often involve engaging with stakeholders, including employees, customers, and communities, to understand their needs and concerns and to ensure that their interests are taken into account. This can include engaging with stakeholders about the use of AI in the organization and its potential impactsThe adoption of AI in business is changing many aspects of doing business in a socially responsible manner, and there is a need to examine the potential unethical behaviors and novel ways of engaging in CSR that may arise. This book aims to focus on AI and CSR, and to advance our understanding of the role of AI in organizations and the literature on CSR by assembling high-quality papers with a strong connection between theory and practice.
Artificial Intelligence: A Guide for Thinking Humans (Pelican Books)
by Melanie MitchellNo recent scientific enterprise has been so alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. How intelligent are the best of today's AI programs? To what extent can we entrust them with decisions that affect our lives? How human-like do we expect them to become, and how soon do we need to worry about them surpassing us in most, if not all, human endeavours? From leading AI researcher and award-winning author Melanie Mitchell comes a knowledgeable and captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humor, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense. Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI requires such elusive human qualities in order to be reliable, trustworthy and beneficial. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible, entertaining, and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go, and what it means for all of our futures.